SciPy recipes

SciPy recipes

Enregistré dans:

Détails bibliographiques
Auteur principal:	Martins, L. Felipe. (Auteur)
Autres auteurs:	Ramos, Ruben Oliva. (Auteur), Kishore Ayyadevara, V..
Support:	E-Book
Langue:	Anglais
Publié:	Birmingham : Packt Publishing, 2017.
Autres localisations:	Voir dans le Sudoc
Accès en ligne:	Accès à l'E-Book
Lien:	Autre support: SciPy Recipes / L. Felipe Martins, Ruben Oliva Ramos, V. Kishore Ayyadevara

Documents similaires

Mastering SciPy
par: Blanco-Silva, Francisco J..
Publié: (2015)

Learning SciPy for numerical and scientific computing
par: G., Sergio J. Rojas.
Publié: (2015)

Scientific Computing with Python : High-performance scientiﬁc computing with NumPy, SciPy, and pandas
par: Führer, Claus.
Publié: (2021)

NumPy cookbook : over 70 interesting recipes for learning the Python open source mathematical library, NumPy
par: Idris, Ivan.
Publié: (2012)

R data visualization recipes
par: Bianchi Lanzetta, Vitor.
Publié: (2017)

Drupal 5 Views Recipes
par: Roswell, Marjorie.
Publié: (2009)

Secret recipes of the Python Ninja : over 70 recipes that uncover powerful programming tactics in Python
par: Jackson, Cody.
Publié: (2018)

NumPy : beginner's guide
par: Idris, Ivan.
Publié: (2015)

PySpark cookbook : over 60 recipes for implementing big data processing and analytics using Apache Spark and Python
par: Lee, Denny.
Publié: (2018)

Learning PySpark
par: Drabas, Tomasz.
Publié: (2017)

NumPy essentials
par: Chin, Leo (Liang-Huan).
Publié: (2016)

Mastering PyCharm
par: Islam, Quazi Nafiul.
Publié: (2015)

Tableau Cookbook ? Recipes for Data Visualization
par: Sankhe-Savale, Shweta.
Publié: (2016)

Mastering PyTorch : Build powerful neural network architectures using advanced PyTorch 1.x features
par: Jha, Ashish Ranjan.
Publié: (2021)

ArcPy and ArcGIS
par: Tomas, Silas.
Publié: (2017)

Learning NumPy Array
par: Idris, Ivan.
Publié: (2014)

Deep learning with PyTorch : a practical approach to building neural network models using PyTorch
par: Subramanian, Vishnu (19..-....).
Publié: (2018)

Python GUI with PyQt : Learn to build modern and stunning GUIs in Python with PyQt5 and Qt Designer
par: Chandrakar, Saurabh.

ArcPy and ArcGIS : geospatial analysis with Python
par: Tomas, Silas.
Publié: (2015)

PySide GUI application development
par: Jaganmohan, Gopinath.
Publié: (2016)

IPython notebook essentials
par: Martins, L. Felipe.
Publié: (2014)

The deep learning with PyTorch workshop : build deep neural networks and artificial intelligence applications with PyTorch
par: Saleh, Hyatt.
Publié: (2020)

Production Ready OpenStack - Recipes for Successful Environments
par: Berezin, Arthur.
Publié: (2015)

Hands-On Application Development with PyCharm : Accelerate your Python applications using practical coding techniques in PyCharm
par: Nguyen, Quan.
Publié: (2019)

Essential PySpark for Scalable Data Analytics : A beginner's guide to harnessing the power and ease of PySpark 3
par: Nudurupati, Sreeram.
Publié: (2021)

NumPy beginner's guide (Second Edition)
par: Idris, Ivan.
Publié: (2013)

PyTorch 1.x reinforcement learning cookbook : over 60 recipes to design, develop, and deploy self-learning AI models using Python
par: Liu, Yuxi (Hayden).
Publié: (2019)

Building Transformer Models with PyTorch 2.0 : NLP, computer vision, and speech processing with PyTorch and Hugging Face
par: Timsina, Prem.

Mastering numerical computing with NumPy : master scientific computing and perform complex operations with ease
par: Cakmak, Umit Mert.
Publié: (2018)

Hands-On Application Development with PyCharm : Build applications like a pro with the ultimate python development tool
par: Van Horn, Bruce M. (II).

PyTorch Deep Learning Hands-On : Apply modern AI techniques with CNNs, RNNs, GANs, reinforcement learning, and more
par: Thomas, Sherin.
Publié: (2019)

Deep Learning with PyTorch Lightning : Swiftly build high-performance Articial Intelligence (AI) models using Python
par: Sawarkar, Kunal.
Publié: (2022)

Modern Computer Vision with PyTorch : Explore deep learning concepts and implement over 50 real-world image applications
par: Kishore Ayyadevara, V..
Publié: (2020)

Machine Learning with PyTorch and Scikit-Learn : Develop machine learning and deep learning models with Python
par: Raschka, Sebastian.
Publié: (2022)

Hands-on data analysis with NumPy and pandas : implement Python packages from data manipulation to processing
par: Miller, Curtis.
Publié: (2018)

Hands-On Big Data Analytics with PySpark : Analyze large datasets and discover techniques for testing, immunizing, and parallelizing Spark jobs
par: Lai, Rudy.
Publié: (2019)

Deep learning with PyTorch quick start guide : learn to train and deploy neural network models in Python
par: Julian, David.
Publié: (2018)

Créer des applications graphiques en Python avec PyQt5
par: Denis, Pierre (19..-....; informaticien).
Publié: (2017)

Hands-On Natural Language Processing with PyTorch 1.x : Build smart, AI-driven linguistic applications using deep learning and NLP techniques
par: Dop, Thomas.
Publié: (2020)

Hands-On Generative Adversarial Networks with PyTorch 1.x : Implement next-generation neural networks to build powerful GAN models using Python
par: Hany, John.
Publié: (2019)

Université catholique de l'Ouest - Bibliothèques - 3 place André Leroy - BP10808 - 49008 ANGERS Cedex 1